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5 March 2021 A auxiliary system to help patients with dyskinesia based on multi-camera stereo vision
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Nowadays many tasks such as medical correlation, surgery and so on almost depend on manpower. Because of occlusions and environmental impacts, artificial intelligence method can help little. For this situation, we design a multicamera stereo vision system which can be used in poor situation to catch and reconstruct certain object. To reduce the environmental impact, infrared devices like cameras, complement lamps and infrared reflection target balls are selected. The system reconstructs object through detecting target balls set on the key position of object instead of directly detect the whole object. When working, the self-adaptive system can choose all or part cameras due to occlusion and lighting conditions to capture pictures containing target spheres. To verify the feasibility and positioning accuracy of this system, we design a 4-DOF mechanical arm and arrange a set of experiments shown in this paper. The whole system can be applied as a real-time and precise auxiliary approach to many object detection tasks such as surgery navigation, position detection and object tracking.
Conference Presentation
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Junyi Luo, Ziqing Fan, Zepeng Li, Xinwei An, Botao Bao, Yanni He, and Ting Li "A auxiliary system to help patients with dyskinesia based on multi-camera stereo vision", Proc. SPIE 11638, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables II, 1163806 (5 March 2021);

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